
Type
Experience
Scope
Solving Systems of Equations Using the Optimization Penalty Method
In this video we show how to solve a system of equations using numerical optimization instead of analytically solving. We show that this can be applied to e...
See MoreMeasurements, Transmission Signals, and Issues
This is an introduction to scaled information transmission signals (for example 4-20 mA, 3-15 psig, etc.), the actual sensed signals (like using orifice dP to infer flow rate, or temperature...
See MoreQuanser QUBE-Servo 2: Low-cost Teaching Platform for Controls
The Quanser QUBE-Servo 2 is a fully integrated, modular servomotor lab experiment designed for teaching mechatronics and control concepts at the undergraduate level. Ideal for teaching speed...
See MoreDSP Lecture 1: Signals
This is a video lecture for ECSE-4530 Digital Signal Processing by Rich Radke, Rensselaer Polytechnic Institute.
See MoreModeling Perturbations and Element Failures in a Sensor Array
This MATLAB example shows how to model amplitude, phase, position and pattern perturbations as well as element failures in a sensor array.
See MoreModel Reference Adaptive Control of Satellite Spin
This example shows how to control satellite spin using model reference adaptive control (MRAC) to make the unknown controlled system match an ideal reference model. The satellite system is...
See MoreCascade Control
When and how to use Cascade Control
See MoreCS224n: Natural Language Processing with Deep Learning | Winter 2021
This course covers the foundations of the effective modern methods for deep learning applied to NLP, a big picture understanding of human languages and the difficulties in understanding and...
See MoreDealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
From the abstract
Recent developments in deep reinforcement learning are concerned with creating decision-making agents which can perform well in various complex domains. A particular...
See MoreWind Tunnel Data Analysis and Testing Considerations
This is the last video in our 3 part series on wind tunnel testing. In this video, we discuss what typical plots of wind tunnel data might look like and how to extract relevant information...
See MoreVectors, Dot Products, Cross Products - 3D Kinematics
Walter Lewin is one of the most reputed professors and was a former lecturer at MIT. His free to watch series on YouTube titled 8.01 is an excellent one for undergrads and high school...
See MoreMATLAB Discovery Page - Anomaly Detection
Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning...
See MoreControl Systems in Practice, Part 5: A Better Way to Think About a Notch Fil...
This video describes an intuitive way to approach notch filter design by thinking about the problem as an inverted, lightly damped, second-order low-pass filter. Then, two additional poles...
See MoreOnline and Recursive System Identification | System Identification, Part 4
Online system identification algorithms estimate the parameters and states of a model as new data is measured and available in real-time or near real-time. Brian Douglas covers what online...
See MoreJupyter Notebook: Code used to generate vibrational control of inverted pend...
Jupyter Notebook: Code used to generate vibrational control of inverted pendulum figures
See MoreRobotic Car - How to read Gyro Datasheets (Part 1)
Have you ever been lost trying to understand the information in a gyro datasheet? This video should help! In this first part I go through the mechanical characteristics of a MEMS gyro and...
See MoreTuning PID Controllers
Tuning controllers is the procedure for choosing the coefficient values for the P, I and D modes. It must be simple to execute, fast, and non-disruptive to the operating process. Heuristic...
See MoreCascade Control
What is Cascade Control and why use it?
See MoreSystem Identification: DMD Control Example
This lecture gives a Matlab example of dynamic mode decomposition with control (DMDc) for full-state system identification.
See MoreFirst Order Plus Dead Time Tuning App for PI Controllers
The FOPTD_PI Tool is a Matlab-Interactive tuning tool of PI controllers for First Order PlusTime Delay processes. It can be used to teach basic control concepts based on a set of PI tuning...
See MoreOnline Tuning using Simulink’s Closed-Loop PID Autotuner Block
Learn how to conduct an online tuning of a PI-speed controller using the MATLAB/Simulink Closed-Loop PID Autotuner Block. Tuned controller is validated on a Quanser QLabs Virtual QUBE-Servo...
See MoreMATLAB Example: Waveform Analysis Using the Ambiguity Function
This example shows how to use the ambiguity function to analyze waveforms. It compares range and Doppler capabilities of several common pulsed waveforms such as the rectangular waveform, the...
See MoreWhat are Nonlinear ARX Models?
This Mathworks page provides an overview of Nonlinear ARX Models.Nonlinear ARX models extend the linear ARX models to the nonlinear case. The structure of these models enables you to model...
See MoreAutonomous Navigation, Part 3: Understanding SLAM Using Pose Graph Optimizat...
This video provides some intuition around Pose Graph Optimization—a popular framework for solving the simultaneous localization and mapping (SLAM) problem in autonomous navigation.
We’ll...
See MoreSystems Engineering, Part 5: Some Benefits of Model-Based Systems Engineerin...
Learn how model-based systems engineering (MBSE) can help you cut through the chaos of early systems development and get you from definition to execution more seamlessly.
You’ll hear the...
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